learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Balanced Acc
0.1819	1.0	124	0.6633	0.9371	0.5
0.4154	2.0	248	0.6913	0.9371	0.5
0.6373	3.0	372	0.6449	0.9371	0.5
0.4658	4.0	496	0.6969	0.9371	0.5
1.0914	5.0	620	0.7048	0.9371	0.5
0.3045	6.0	744	0.6476	0.9371	0.5
0.7046	7.0	868	0.6569	0.9371	0.5
0.3645	8.0	992	0.6368	0.9371	0.5
0.2303	9.0	1116	0.6604	0.9371	0.5
0.5905	10.0	1240	0.6307	0.9371	0.5
0.3306	11.0	1364	0.6332	0.9371	0.5
0.2381	12.0	1488	0.6957	0.9371	0.5
0.4752	13.0	1612	0.6574	0.9371	0.5
0.6578	14.0	1736	0.6515	0.9371	0.5
0.5788	15.0	1860	0.6585	0.9371	0.5

AnonymousCS/populism_classifier_416

populism_classifier_416